A Novel Algorithm for Finger Knuckle Print Recognition
Nikita Runijha1, Abhishek Shrivastava2

1Nikita Runijha, M.Tech Research Scholar, Department of Computer Science, Disha Institute of Management and Technology, Raipur (Chhattisgarh).India.
2Abhishek Shrivastava, Assistant Professor, Department of Computer Science, Disha Institute of Management and Technology, Raipur (Chhattisgarh).India.

Manuscript received on 13 June 2016 | Revised Manuscript received on 20 June 2016 | Manuscript Published on 30 June 2016 | PP: 135-139 | Volume-5 Issue-5, June 2016 | Retrieval Number: E4603065516/16©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Biometrics is the technique of authentication of a person on the basis of biometrics traits. Due to its reliability and accuracy it has been explored extensively. Fingerprint, iris, hand geometry, palm, face etc are some of the common biometrics traits that can be used successfully for authentication of a person. The accuracy and reliability of the biometrics based authentication system depends on the various important features and feature extraction techniques. Extracted features from the biometrics must be having uniqueness for making biometrics system reliable. This paper present a finger knuckle print based biometric system for person authentication. Radon transform is used for extracting the features of the inner knuckle print image. Simulation results reveals that the proposed system perform very well in recognizing the person with good accuracy.
Keywords: Knuckle Print, Biometrics, Finger Features, Recognition System.

Scope of the Article: Biomechanics